
Matplotlib — Visualization with Python
Matplotlib: Visualization with Python. Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard …
matplotlib.pyplot — Matplotlib 3.10.3 documentation
matplotlib.pyplot # matplotlib.pyplot is a state-based interface to matplotlib. It provides an implicit, MATLAB-like, way of plotting. It also opens figures on your screen, and acts as the figure GUI …
Pyplot tutorial — Matplotlib 3.10.3 documentation
matplotlib.pyplot is a collection of functions that make matplotlib work like MATLAB. Each pyplot function makes some change to a figure: e.g., creates a figure, creates a plotting area in a …
Matplotlib documentation — Matplotlib 3.10.3 documentation
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations. Install#
Examples — Matplotlib 3.10.3 documentation
When embedding Matplotlib in a GUI, you must use the Matplotlib API directly rather than the pylab/pyplot procedural interface, so take a look at the examples/api directory for some …
Tutorials — Matplotlib 3.10.3 documentation
Pyplot tutorial. Image tutorial. Image tutorial. The Lifecycle of a Plot. The Lifecycle of a Plot. Artist tutorial. Artist tutorial. Download all examples in Python source code: tutorials_python.zip. …
Installation — Matplotlib 3.10.3 documentation
If you are using Python from https://www.python.org, Homebrew, or Macports, then you can use the standard pip installer to install Matplotlib binaries in the form of wheels. pip is installed by …
Using Matplotlib — Matplotlib 3.10.3 documentation
Writing a backend -- the pyplot interface; Axes and subplots. Introduction to Axes (or Subplots) Arranging multiple Axes in a Figure; Placing colorbars; Autoscaling axes; Axis scales; Axis …
API Reference — Matplotlib 3.10.3 documentation
pyplot interface (function-based, implicit) consists of functions in the pyplot module. Figure and Axes are manipulated through these functions and are only implicitly present in the background.
Getting started — Matplotlib 3.10.3 documentation
import matplotlib.pyplot as plt import numpy as np x = np. linspace (0, 2 * np. pi, 200) y = np. sin (x) fig, ax = plt. subplots ax. plot (x, y) plt. show () ( Source code , 2x.png , png ) If a plot does …